Pneumatically actuated, soft wearable robotic elbow exoskeleton for reducing muscle activity and perceived workload

Soft, air-powered exoskeleton eases muscle fatigue, reduces injuries and boosts workplace safety. Credit: UTA

For workers whose jobs involve hours of lifting and repetitive motion, even small innovations can make a big difference in preventing future musculoskeletal disorders.

That’s why engineers at The University of Texas at Arlington have developed a soft robotic exoskeleton that lightens the load—literally—by reducing strain on the arm and elbow.

Called the Pneumatically Actuated Soft Elbow Exoskeleton (PASE), the device uses a lightweight silicone “pneumatic actuator”—a soft, air-filled mechanism that helps move the arm—to assist movement during everyday industrial tasks such as lifting, assembling and drilling. Its flexible design aims to lower the risk of developing work-related musculoskeletal disorders, which account for about 30% of all workplace injuries in the U.S. and cost an estimated $45–54 billion annually in workers’ comp and recovery.

“Our goal was to create a preventive, assistive device that reduces muscle strain before injuries occur,” said Eshwara Prasad Sridhar, graduate research assistant in the Department of Industrial, Manufacturing, and Systems Engineering. “By using the pneumatic systems already available overhead in most manufacturing facilities, this exoskeleton can be easily implemented in real-world settings.”

The interdisciplinary project brought together Mahmudur Rahman (PI), assistant professor in the Department of Industrial, Manufacturing, and Systems Engineering; Muthu Wijesundara (Co-PI), principal research scientist and division head of Biomedical Technologies at the UTA Research Institute; Veysel Erel, research scientist III at UTARI; and Sridhar.

The team designed PASE as a single-piece pneumatic actuator, minimizing weight and mechanical complexity while maximizing comfort and freedom of movement. Constructed from silicone and mounted on a carbon-fiber onyx base plate with a soft neoprene outer layer, the device provides precise assistance aligned with natural elbow motion.

In a study involving 19 participants aged 18–45, the researchers tested the exoskeleton across three tasks: manual weightlifting, basic assembly and power drilling. When the exoskeleton support was engaged, muscle activity in the biceps and triceps decreased by up to 22% during lifting tasks, and participants reported 8–10 point reductions in perceived physical and mental workload using NASA’s Task Load Index compared with when the support was off.

“Even delaying or preventing a single workplace injury makes a huge impact,” said Dr. Erel, who leads UTARI’s soft robotics efforts. “Projects like this show how engineering can directly improve people’s quality of life by reducing fatigue, preventing strain and creating safer work environments.”

The study, “Design, Development, and Evaluation of a Pneumatically Actuated Soft Wearable Robotic Elbow Exoskeleton for Reducing Muscle Activity and Perceived Workload,” was published in the Journal of Rehabilitation and Assistive Technologies Engineering.

Building on this success, the team has submitted a National Science Foundation proposal to expand the concept into a full upper-limb exoskeleton that can assist the elbow, wrist and fingers simultaneously.

“This type of interdisciplinary research is at the heart of UTA’s mission,” Erel said. “By combining expertise across robotics, mechanical engineering, and human factors, we’re creating solutions that matter in both industry and everyday life.”

More information:
Eshwara Prasad Sridhar et al, Design, development, and evaluation of a pneumatically actuated soft wearable robotic elbow exoskeleton for reducing muscle activity and perceived workload, Journal of Rehabilitation and Assistive Technologies Engineering (2025). DOI: 10.1177/20556683251347517

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University of Texas at Arlington


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Pneumatically actuated, soft wearable robotic elbow exoskeleton for reducing muscle activity and perceived workload (2025, October 27)
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